Insights from real AI adoption
Practical articles on strategy, technology, measurement and change management in AI projects.
The AI adoption readiness checklist for SMBs
Exactly what to verify before investing in an AI project — technical readiness, data quality, ways of working and change management.
RAG vs. fine-tuning: which fits your business needs?
When building an AI knowledge assistant, the RAG vs. fine-tune choice drives cost, accuracy and maintenance.
How to measure the real impact of AI investments
Three usable metric frameworks instead of one "ROI" number — and why hard metrics aren't always monetary.
An AI governance framework: where to start when scaling AI usage
A practical framework for codes of conduct, approval processes, risk management and accountability — when AI moves from experiments to company-wide.
Prompt engineering for teams: what actually works in practice Coming soon
How to build repeatable, maintainable prompts for team use, without ad-hoc fixes.
Preparing your Nordic business for the EU AI Act Coming soon
Which systems fall into high-risk categories and what that means operationally.
Building an internal RAG system from scratch to production Coming soon
Architecture, vectors, indexing, updates and observability in production.
AI from pilot to production: the common blockers and how to break them Coming soon
Why 70% of AI pilots stay pilots — and concrete steps to prevent it.